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Abstract
In the present situation of the power system, congestion due to contingency is one of the basic issues, which should be settled for better economic/monetary and network proficiency. Hassled power system, due to extreme line contingencies, regularly prompts circumstance where the system never again stays in the protected working region. Under these circumstances, it is an essential goal of the system operator to watch control activity to bring the electricity system into the invulnerable region. The objective function of this paper is fuel cost minimisation by an optimal power flow technique using honey bee colony–particle swarm optimisation-based hybrid evolutionary optimisation algorithm (Particle Movement Bee Colony Algorithm (PMBCA)) and to enhance the line loadability during network contingencies. The proposed approach to relieve transmission line from congestion and for fuel cost minimisation is tried on the IEEE 30-bus standard test system using MATLAB.
Disclosure statement
No potential conflict of interest was reported by the authors.